Inside the AI Employee runtime — how Syntic schedules a million dispatches a day
A walkthrough of the dispatch queue, executor pool, and per-agent isolation model that keeps the Workforce predictable at scale.
Behind Syntic
The engineering blog from the team building the AI Workforce. How we design the agent runtime, how we orchestrate millions of AI Employee dispatches per day, how we evaluate model quality, and how we keep the Workforce shipping while everything underneath changes.
How the Workforce is built
Deep technical posts from Syntic engineers, researchers, and product staff. Every post is written by someone who shipped the thing they are describing. No corporate ghostwriting.
Recent posts
Inside the runtime, orchestration, and evaluation layers powering the AI Workforce.
Why we built our own model router (and what it taught us about reliability)
How Syntic routes work across model tiers, why fallback chains matter more than raw benchmarks, and what we learned shipping a router at production load.
Evaluating AI Employees — beyond unit tests for non-deterministic systems
How the Syntic eval harness scores AI Employees on real workflows, why golden datasets beat synthetic ones, and how we gate every deploy on regression-tier evals.
Syntic AI Agents — the agent dispatch layer, in detail
The architecture behind Syntic AI Agents, how Agents claim work, sandboxing guarantees, and why we chose a pull model over orchestrator-push.
Multi-agent orchestration — supervisors, peers, and the chain of command
Patterns we use to coordinate teams of AI Employees, how the supervisor role works in practice, and where a flat structure beats a hierarchy.